Easy Fox, the developer of the free Steam demo "Teach My Little Sister How To Drive," has encountered significant operational costs. The game, which relies on Google Gemini and ChatGPT for voice command processing, has seen its player count increase over 20 times. This surge in popularity has driven daily AI service expenses to over $1,000, forcing the developers to secure a bank loan to maintain the demo's operation.
The game's player base grew from under 10 average users in August to a peak of 431 players by October 1. This rapid expansion led to the game hitting usage limits on Google Gemini, its primary AI service. Consequently, the system has frequently fallen back to the less capable ChatGPT Realtime Mini 2.1 model, resulting in issues such as delayed responses and incorrect inputs for players.
Easy Fox has stated that for the full paid release of the game, the expected costs of AI usage will be factored into the purchase price, eliminating separate charges for individual AI token usage. The developers are also exploring the integration of local AI models for players with compatible hardware, which would reduce reliance on external services and mitigate API limits. Additionally, they are testing alternative AI models for regions like Russia, where access to Western models is restricted.
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Easy Fox, developers of the free Steam demo "Teach My Little Sister How To Drive," are spending over $1,000 daily on AI services due to unexpected player growth, necessitating a bank loan. The game uses Google Gemini and ChatGPT for voice command processing, and increased usage has led to hitting API limits and relying on less capable fallback models, impacting gameplay. The developers plan to incorporate AI costs into the final game's price and explore local AI models.